Produce high-quality parts more easily and quickly
Da Xin Century is your trusted one-stop customized manufacturing solution,
from prototype design to production. With the help of digital manufacturing
resources, streamlined processes, expert guidance, accelerated timelines, et
uncompromising quality, turn your ideas into reality.
CNC lathe parts
Compared with ordinary machine tools, Daxin Technology’s
CNC machine tools have the following characteristics:
High processing accuracy and stable processing quality;
● Can perform multi coordinate linkage and process complex shaped parts;
When processing parts, it is generally only necessary to change the CNC program,
which can save production preparation time;
The machine tool itself has high precision and rigidity, and can choose favorable
processing quantities, resulting in high productivity (generally 3-5 times that of ordinary
machine tools);The high degree of automation of machine tools can reduce labor intensity;
CNC lathe parts
The process requirements for parts mainly include the structural dimensions,
processing range, and precision requirements of the parts. Select the control
accuracy of the CNC lathe based on the precision requirements, namely the
dimensional accuracy, positioning accuracy, and surface roughness of the
workpiece. Choose based on reliability, which is the guarantee for improving product
quality and production efficiency. The reliability of a CNC machine tool refers to
its ability to operate stably for a long time without failure under specified conditions.
Fast delivery time
By improving our production methods and utilizing cutting-edge manufacturing
technology, Daxin Century has greatly reduced waiting times, allowing you to
accelerate project progress and maintain a competitive advantage.
High quality assurance
The quality control team of Daxin Century will carefully inspect each
customized component to ensure that it meets high standards. We use
strict inspection procedures and expert supervision to ensure that your
project has reliability and optimal performance.
3：
5
8：
